Min Wang
Orcid: 0000-0001-7025-7651Affiliations:
- South China University of Technology, School of Automation Science and Engineering, Guangzhou Key Laboratory of Brain Computer Interaction and Applications, China
- Qingdao University, Institute of Complexity Science, China (PhD 2009)
According to our database1,
Min Wang
authored at least 65 papers
between 2007 and 2024.
Collaborative distances:
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Bibliography
2024
A New Neural Dynamic Learning Framework for Discrete-Time Strict-Feedback Systems: Internal Interaction-Based Weight Adaptive Laws.
IEEE Trans. Cybern., July, 2024
A New Privacy Preservation Mechanism and a Gain Iterative Disturbance Observer for Multiagent Systems.
IEEE Trans. Netw. Sci. Eng., 2024
2023
Observer-Based Event-Triggered Tracking Control for Discrete-Time Nonlinear Systems Using Adaptive Critic Design.
IEEE Trans. Syst. Man Cybern. Syst., September, 2023
Neural Learning Control for Discrete-Time Strict-Feedback Systems: An Error Estimate Method.
IEEE Trans. Circuits Syst. II Express Briefs, September, 2023
Simplified reinforcement learning control algorithm for <i>p</i>-norm multiagent systems with full-state constraints.
Neurocomputing, September, 2023
Simplified optimised prescribed performance control for high-order multiagent systems with privacy preservation.
Int. J. Syst. Sci., July, 2023
Sliding mode differentiator-based event-triggered control for state-constrained nonlinear systems with unknown virtual control coefficients.
Int. J. Control, March, 2023
Asia Pac. J. Oper. Res., February, 2023
System Transformation-Based Event-Triggered Fuzzy Control for State Constrained Nonlinear Systems With Unknown Control Directions.
IEEE Trans. Fuzzy Syst., 2023
Leader-Follower Formation Learning Control of Discrete-Time Nonlinear Multiagent Systems.
IEEE Trans. Cybern., 2023
2022
Model-Based Adaptive Event-Triggered Tracking Control of Discrete-Time Nonlinear Systems Subject to Strict-Feedback Form.
IEEE Trans. Syst. Man Cybern. Syst., 2022
Dynamic Learning From Adaptive Neural Control for Discrete-Time Strict-Feedback Systems.
IEEE Trans. Neural Networks Learn. Syst., 2022
Filter-Based Event-Triggered Adaptive Fuzzy Control for Discrete-Time MIMO Nonlinear Systems With Unknown Control Gains.
IEEE Trans. Fuzzy Syst., 2022
System Transformation-Based Neural Control for Full-State-Constrained Pure-Feedback Systems via Disturbance Observer.
IEEE Trans. Cybern., 2022
Finite-time performance guaranteed event-triggered adaptive control for nonlinear systems with unknown control direction.
J. Frankl. Inst., 2022
Pattern-based autonomous smooth switching control for constrained flexible joint manipulator.
Neurocomputing, 2022
Distributed Cooperative Learning for Discrete-Time Strict-Feedback Multi Agent Systems Over Directed Graphs.
IEEE CAA J. Autom. Sinica, 2022
CoRR, 2022
CoRR, 2022
Sci. China Inf. Sci., 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
A Universal PINNs Method for Solving Partial Differential Equations with a Point Source.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
2021
NN-Based Adaptive Tracking Control of Discrete-Time Nonlinear Systems With Actuator Saturation and Event-Triggering Protocol.
IEEE Trans. Syst. Man Cybern. Syst., 2021
A Novel Framework for Backstepping-Based Control of Discrete-Time Strict-Feedback Nonlinear Systems With Multiplicative Noises.
IEEE Trans. Autom. Control., 2021
Event-based disturbance compensation control for discrete-time SPMSM with mismatched disturbances.
Int. J. Syst. Sci., 2021
Solving Partial Differential Equations with Point Source Based on Physics-Informed Neural Networks.
CoRR, 2021
SKFAC: Training Neural Networks With Faster Kronecker-Factored Approximate Curvature.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
THOR, Trace-based Hardware-driven Layer-Oriented Natural Gradient Descent Computation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Event-Based Adaptive Neural Tracking Control for Discrete-Time Stochastic Nonlinear Systems: A Triggering Threshold Compensation Strategy.
IEEE Trans. Neural Networks Learn. Syst., 2020
Observer-Based Fuzzy Output-Feedback Control for Discrete-Time Strict-Feedback Nonlinear Systems With Stochastic Noises.
IEEE Trans. Cybern., 2020
Adaptive Neural Event-Triggered Control for Discrete-Time Strict-Feedback Nonlinear Systems.
IEEE Trans. Cybern., 2020
Learning from neural control for non-affine systems with full state constraints using command filtering.
Int. J. Control, 2020
AsymptoticNG: A regularized natural gradient optimization algorithm with look-ahead strategy.
CoRR, 2020
2019
Adaptive Neural Control of Underactuated Surface Vessels With Prescribed Performance Guarantees.
IEEE Trans. Neural Networks Learn. Syst., 2019
IEEE Trans. Ind. Informatics, 2019
Leader-Follower Formation Control of USVs With Prescribed Performance and Collision Avoidance.
IEEE Trans. Ind. Informatics, 2019
Biologically Inspired Motion Modeling and Neural Control for Robot Learning From Demonstrations.
IEEE Trans. Cogn. Dev. Syst., 2019
An improved adaptive online neural control for robot manipulator systems using integral Barrier Lyapunov functions.
Int. J. Syst. Sci., 2019
Int. J. Syst. Sci., 2019
Abrupt stall detection for axial compressors with non-uniform inflow via deterministic learning.
Neurocomputing, 2019
2018
2017
Dynamic Learning From Adaptive Neural Control of Robot Manipulators With Prescribed Performance.
IEEE Trans. Syst. Man Cybern. Syst., 2017
Bifurcation Predication in Axial Compressors with Nonuniform Inflow via Deterministic Learning.
Int. J. Bifurc. Chaos, 2017
Dynamic Learning from Adaptive Neural Control of Uncertain Robots with Guaranteed Full-State Tracking Precision.
Complex., 2017
Neural Learning Control of Flexible Joint Manipulator with Predefined Tracking Performance and Application to Baxter Robot.
Complex., 2017
Proceedings of the 2017 IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, 2017
Guaranteeing Predefined Full State Constraints for Non-Affine Nonlinear Systems Using Neural Networks.
Proceedings of the Neural Information Processing - 24th International Conference, 2017
Proceedings of the Neural Information Processing - 24th International Conference, 2017
2016
Dynamic Learning From Neural Control for Strict-Feedback Systems With Guaranteed Predefined Performance.
IEEE Trans. Neural Networks Learn. Syst., 2016
Neural Learning Control of Marine Surface Vessels With Guaranteed Transient Tracking Performance.
IEEE Trans. Ind. Electron., 2016
2015
IEEE Trans. Neural Networks Learn. Syst., 2015
Int. J. Syst. Sci., 2015
2014
Dynamic Learning From Adaptive Neural Network Control of a Class of Nonaffine Nonlinear Systems.
IEEE Trans. Neural Networks Learn. Syst., 2014
Dynamic learning from adaptive neural control with predefined performance for a class of nonlinear systems.
Inf. Sci., 2014
2013
Proceedings of the 3rd IFAC International Conference on Intelligent Control and Automation Science, 2013
2012
IEEE Trans. Neural Networks Learn. Syst., 2012
Proceedings of the 12th International Conference on Control Automation Robotics & Vision, 2012
2010
Sci. China Inf. Sci., 2010
2008
Adaptive Neural Control for a Class of Perturbed Strict-Feedback Nonlinear Time-Delay Systems.
IEEE Trans. Syst. Man Cybern. Part B, 2008
Adaptive fuzzy tracking control of nonlinear time-delay systems with unknown virtual control coefficients.
Inf. Sci., 2008
Adaptive fuzzy tracking control for a class of perturbed strict-feedback nonlinear time-delay systems.
Fuzzy Sets Syst., 2008
2007
Direct adaptive fuzzy tracking control for a class of perturbed strict-feedback nonlinear systems.
Fuzzy Sets Syst., 2007